An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems

By Weijun Xia, Zhi-ming Wu. Computers & industrial engineering, 2005

714 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/22940aec327b6cb80dc27521c260a3871cab9c7f

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In Industrial and Manufacturing Engineering

Citations in the corpus

Mathematical modeling and heuristic approaches to flexible job shop scheduling problems (2007, background): “Other literatures of this approach were represented by Kacem, Hammadi, and Borne (2002), Xia and Wu (2005) and Low, Yip, and Wu (2006).”
Particle swarm optimization algorithm embedded with maximum deviation theory for solving multi-objective flexible job shop scheduling problem (2015, background): “Xia and Wu [2], Tay and Ho [3], and Li et al.”
Review of job shop scheduling research and its new perspectives under Industry 4.0 (2017, methodology): “(2) Combination algorithms and recent studies based on SA Xia and Wu (2005) [57] used SA to avoid being trapped in a local optimum and particle swarm optimization method to enhance high search efficiency and the solutions showed it was a practical method for a multi-objective flexible job shop sched”
A research survey: review of flexible job shop scheduling techniques (2016, background): “…machines 59 Baykasoğlu et al. (2004) Research TS based on grammars and Giffler and Thompson priority rule Min of makespan and mean tardiness 55 Xia and Wu (2005) Research PSO + SA Minimum of makespan, workload of most loaded machine, total workload of machines 478 Gao et al. (2006) Research GA…”
An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem (2009, methodology): “Recently, Xia and Wu (2005) proposed a hybrid algorithm using particle swarm optimization (PSO) assignment and simulated annealing (SA) scheduling to optimize multi-objective FJSP, respectively.”
An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem (2015, methodology): “Xia and Wu introduced a hybrid algorithm that combines PSO and simulated annealing to solve FJSP while minimizing the makespan (Xia and Wu 2005).”